STBGRN: A Traffic Prediction Model Based on Spatiotemporal Bidirectional Gated Recurrent Units and Graph Convolutional Residual Networks
Abstract With the development of society and the advancement of urbanization, the development of intelligent transportation system has attracted much attention. Efficient and accurate traffic flow prediction is one of the core tasks in the research of intelligent transportation system. Most of the e...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2024-05-01
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| coleção: | International Journal of Computational Intelligence Systems |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s44196-024-00531-7 |
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